Files
Epicure/apps/web/app/api/v1/ai/generate/route.ts
T
Arnaud 524310433c fix: return clean errors and refund quota on AI provider failures
AI routes had no consistent error handling — a provider failure (e.g.
OpenRouter returning a degraded-model error) crashed the route as an
uncaught 500 and, worse, still charged the user's monthly aiCall
quota for a request that never succeeded.

Adds withAiQuota()/aiErrorResponse() (lib/ai/ai-error.ts) and applies
them across all 12 AI generation routes: charges the quota, runs the
AI call, refunds the credit and returns a clean user-facing message
if it throws. Frontend needs no changes — existing dialogs already
toast whatever `error` string comes back.

Co-Authored-By: Claude Sonnet 5 <noreply@anthropic.com>
2026-07-02 12:32:31 +02:00

45 lines
1.6 KiB
TypeScript

import { NextRequest, NextResponse } from "next/server";
import { z } from "zod";
import { requireSession } from "@/lib/api-auth";
import { applyRateLimit } from "@/lib/rate-limit";
import { withAiQuota } from "@/lib/ai/ai-error";
import { generateRecipe } from "@/lib/ai/features/generate-recipe";
import { getUserPrivateBio } from "@/lib/ai/user-bio";
const Schema = z.object({
prompt: z.string().min(3).max(500),
language: z.string().max(10).default("en"),
difficulty: z.enum(["easy", "medium", "hard"]).optional(),
provider: z.enum(["openai", "anthropic", "openrouter", "ollama"]).optional(),
model: z.string().optional(),
});
export async function POST(req: NextRequest) {
const { session, response } = await requireSession();
if (response) return response;
const body = await req.json() as unknown;
const parsed = Schema.safeParse(body);
if (!parsed.success) {
return NextResponse.json({ error: "Validation error", issues: parsed.error.issues }, { status: 400 });
}
const limited = await applyRateLimit(`rl:ai:${session!.user.id}`, 10, 60);
if (limited) return limited;
const privateBio = await getUserPrivateBio(session!.user.id);
const result = await withAiQuota(session!.user.id, session!.user.tier as "free" | "pro", () =>
generateRecipe(parsed.data.prompt, {
provider: parsed.data.provider,
model: parsed.data.model,
language: parsed.data.language,
difficulty: parsed.data.difficulty,
userContext: privateBio ?? undefined,
})
);
if (!result.ok) return result.response;
return NextResponse.json(result.data);
}